Angjoo Kanazawa

University of California, Berkeley, Berkeley College

Papers

6

Total Citations

882

H-Index

5

About

Angjoo Kanazawa is a leading researcher at the intersection of computer vision and graphics, best known for her transformative work on Neural Radiance Fields (NeRF) and 3D scene understanding. She spearheaded the development of **Nerfstudio** (2023, 528 citations), a modular PyTorch framework that has become the de facto standard for NeRF research, dramatically accelerating experimentation and deployment across vision, graphics, and robotics. Her pioneering work on **Language Embedded Radiance Fields (LERF)** (2023, 291 citations) bridges 3D geometry and natural language, enabling users to query specific 3D locations using open-vocabulary descriptions—a breakthrough for human-robot interaction and scene understanding. Kanazawa has also made foundational contributions to rotation estimation, with her SVD-based analysis (2020) providing rigorous mathematical tools for deep learning on SO(3), and to human mesh recovery, where she developed domain-adaptive pose augmentation techniques (2022) that improve in-the-wild 3D human perception. Her work consistently pushes the boundaries of how machines perceive and interact with the 3D world, earning her widespread recognition as a rising star in computer vision.

Research Focus

Key Achievements

5
H-Index
6
Papers
882
Total Citations
147
Avg Citations/Paper
🏆 Most Cited Paper
Nerfstudio: A Modular Framework for Neural Radiance Field Development
528 citations · 2023
📈 Most Prolific Year: 2023 (4 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: University of California, Berkeley, Berkeley College

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago